文章基本信息

标题：Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution Algorithms
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作者：Roberto Santana ; Concha Bielza ; Pedro Larrañaga 等
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2010
卷号：35
期号：1
页码：1-30
语种：English
出版社：University of California, Los Angeles
摘要：This paper describes Mateda-2.0 , a MATLAB package for estimation of distribution algorithms (EDAs). This package can be used to solve single and multi-objective discrete and continuous optimization problems using EDAs based on undirected and directed probabilistic graphical models. The implementation contains several methods commonly employed by EDAs. It is also conceived as an open package to allow users to incorporate different combinations of selection, learning, sampling, and local search procedures. Additionally, it includes methods to extract, process and visualize the structures learned by the probabilistic models. This way, it can unveil previously unknown information about the optimization problem domain. Mateda-2.0 also incorporates a module for creating and validating function models based on the probabilistic models learned by EDAs.